Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Advancements in AI based healthcare techniques with FOCUS ON diagnostic techniques

N Kalra, P Verma, S Verma - Computers in Biology and Medicine, 2024 - Elsevier
Since the past decade, the interest towards more precise and efficient healthcare techniques
with special emphasis on diagnostic techniques has increased. Artificial Intelligence has …

A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders

S Zhang, X Chen, X Shen, B Ren, Z Yu, H Yang… - Medical Image …, 2023 - Elsevier
Accurate diagnosis of neurodevelopmental disorders is a challenging task due to the time-
consuming cognitive tests and potential human bias in clinics. To address this challenge, we …

Designing a Smart and Intelligent Ecosystem for Autistic Children

M Sen, K Sharma, S Mishra… - 2023 4th International …, 2023 - ieeexplore.ieee.org
In this paper, we discuss the usage of smart and machine learning based model to aid
children with autism. Children with autism require constant care because you never know …

A machine learning framework for early-stage detection of autism spectrum disorders

SMM Hasan, MP Uddin, M Al Mamun, MI Sharif… - IEEE …, 2022 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder that affects the
everyday life of affected patients. Though it is considered hard to completely eradicate this …

Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: Experiences from bangladesh

MJ Uddin, MM Ahamad, MN Hoque, MAA Walid… - Information, 2023 - mdpi.com
Diabetes is a chronic disease caused by a persistently high blood sugar level, causing other
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …

Deep learning algorithms to identify autism spectrum disorder in children-based facial landmarks

H Alkahtani, THH Aldhyani, MY Alzahrani - Applied Sciences, 2023 - mdpi.com
People with autistic spectrum disorders (ASDs) have difficulty recognizing and engaging
with others. The symptoms of ASD may occur in a wide range of situations. There are …

Toward machine learning-based psychological assessment of autism spectrum disorders in school and community

S Ahmed, MF Hossain, SB Nur… - Proceedings of Trends …, 2022 - Springer
The sensory processing system of the human body is capable of collecting, developing, and
integrating information through sensory organs. Sensory impairment has been discovered in …

[PDF][PDF] Detection of autism spectrum disorder using a 1-dimensional convolutional neural network

AK Kareem, MM AL-Ani, AA Nafea - Baghdad Science Journal, 2023 - iasj.net
Abstract Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease
that impairs speech, social interaction, and behavior. Machine learning is a field of artificial …